Physics-based Forecasting

Physics-Based Forecasting is a forecasting methodology that belongs to the class of model-driven approaches in reservoir forecasting, distinguished by its reliance on fundamental physical laws and mathematical representations of subsurface processes to predict reservoir behavior.

127

Publications

6.2K

Citations

551

Authors

234

Institutions

Publications per year

2017–2026

104

Authors

551

  1. YX
    Yinghui Xu

    Fudan University, China

    3 publications · 312 citations

    3

    h-index

  2. KM
    Kieran M. R. Hunt

    University of Reading, United Kingdom

    3 publications · 240 citations

    3

    h-index

  3. YC
    Yuan Cheng

    Zhejiang University, China

    3 publications · 312 citations

    3

    h-index

  4. XZ
    Xiaohui Zhong

    Fudan University, China

    3 publications · 312 citations

    3

    h-index

  5. MZ
    Massimiliano Zappa

    Swiss Federal Institute for Forest, Snow and Landscape Research, Switzerland

    2 publications · 251 citations

    2

    h-index

1–5 of 551

Venues

  1. arXiv (Cornell University)

    Repository · 9 publications · 228 citations

    9

    h-index

  2. Ocean Engineering

    4 publications · 181 citations

    4

    h-index

  3. Nature Communications

    3 publications · 487 citations

    3

    h-index

  4. Seismological Research Letters

    SRL · 3 publications · 111 citations

    3

    h-index

  5. Scientific Reports

    3 publications · 150 citations

    3

    h-index

1–5